Assigning a role or persona to the Large Language Model (LLM) is a fundamental and highly effective prompt engineering technique. By instructing the model to "role-play" (e.g., "You are an expert financial advisor"), you provide critical context that guides its tone, style, and the specific knowledge domain it should access. This leads to more relevant, accurate, and appropriately styled responses, which is a primary goal when building reusable and effective prompt templates in Prompt Builder for standard foundation models.

A. Including multiple-choice questions is a method for evaluating or testing an LLM's capabilities, not a standard practice for generating a desired output for a business task within a prompt template.

C. This describes the process of fine-tuning or training a model with a specific dataset. Prompt Builder is used for prompt engineering with existing models, not for training them.

1. Official Vendor Documentation: Salesforce Help

Prompt Engineering Best Practices for Sales Emails. In the section "Provide Context and Persona

" the documentation advises: "Instruct the model to adopt a specific persona. For example

'You are a friendly and helpful sales assistant.' This helps guide the tone and content of the generated response." This directly supports the practice of asking the LLM to role-play.

2. Official Vendor Documentation: Salesforce Help

Prompt Builder. Under the section "Tips for Writing Effective Prompts

" a key recommendation is to "Be specific about the persona

format

and tone you want the LLM to use." This reinforces that defining a character or role is a core consideration.

3. University Courseware: Stanford University

CS324 - Large Language Models

Lecture 5: Prompting

Instruction Fine-tuning. This lecture material discusses prompt engineering techniques

highlighting that providing a clear role or persona in the prompt (a form of instructional prompting) is crucial for constraining the model's output and aligning it with the user's intent. (Reference to general principles taught in advanced NLP coursework).